10 citations · 13 across the 6 of their papers we have counts for
6 papers
ppOpen-AT: A Directive-base Auto-tuning Language
Takahiro Katagiri
ppOpen-AT is a domain-specific language designed to ease the workload for developers creating libraries with auto-tuning (AT) capabilities. It consists of a set of directives that…
RAO-SS: A Prototype of Run-time Auto-tuning Facility for Sparse Direct Solvers
Takahiro Katagiri, Yoshinori Ishii, Hiroki Honda
In this paper, a run-time auto-tuning method for performance parameters according to input matrices is proposed. RAO-SS (Run-time Auto-tuning Optimizer for Sparse Solvers), which i…
An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication
Takahiro Katagiri, Masahiko Sato
In this paper, we research the run-time sparse matrix data transformation from Compressed Row Storage (CRS) to Coordinate (COO) storage and an ELL (ELLPACK/ITPACK) format with Open…
A Communication Avoiding and Reducing Algorithm for Symmetric Eigenproblem for Very Small Matrices
Takahiro Katagiri, Jun'ichi Iwata, Kazuyuki Uchida
In this paper, a parallel symmetric eigensolver with very small matrices in massively parallel processing is considered. We define very small matrices that fit the sizes of caches…
Autotuning by Changing Directives and Number of Threads in OpenMP using ppOpen-AT
Toma Sakurai, Satoshi Ohshima, Takahiro Katagiri +1
Recently, computers have diversified architectures. To achieve high numerical calculation software performance, it is necessary to tune the software according to the target compute…
Bayesian phase difference estimation algorithm for direct calculation of fine structure splitting: accelerated simulation of relativistic and quantum many-body effects
Kenji Sugisaki, V. S. Prasannaa, Satoshi Ohshima +4
Despite rapid progress in the development of quantum algorithms in quantum computing as well as numerical simulation methods in classical computing for atomic and molecular applica…